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39 changes: 18 additions & 21 deletions paper.bib
Original file line number Diff line number Diff line change
Expand Up @@ -58,12 +58,11 @@ @article{ALONSOTRISTAN20112729
abstract = {A small hydropower plant in Spain is studied from an energetic and economic perspective. The viability of the facility is examined using the freeware software RETScreen. Calculated and standard operational data are compared, thereby demonstrating the feasibility of the project from all points of view. The study highlights the growing interest in renewable energies.}
}

@BOOK{HPEH,
TITLE = {Hydropower Engineering Handbook},
SUBTITLE = {},
AUTHOR = {Gulliver, John S. and Arndt, Roger E.A.},
YEAR = {1991},
PUBLISHER = {McGraw-Hill, Inc.},
@book{HPEH,
author = {Gulliver, John S. and Arndt, Roger E. A.},
title = {Hydropower Engineering Handbook},
publisher = {McGraw-Hill},
year = {1991}
}

@software{gillies_2025_14776272,
Expand Down Expand Up @@ -103,12 +102,11 @@ @article{NIEBUHR2019109240
abstract = {The hydrokinetic industry has advanced beyond its initial testing phase with full-scale projects being introduced, constructed and tested globally. However primary hurdles such as reducing the cost of these systems, optimizing individual systems and arrays and balancing energy extraction with environmental impact still requires attention prior to achieving commercial success. The present study addresses the advances and limitations of near-zero head hydrokinetic technologies and the possibility of increased potential and applicability when enhancement techniques within the design, implementation and operational phases are considered. Its goal is threefold: to review small-scale state-of-the-art near-zero hydrokinetic-current-energy-conversion-technologies, to assess barriers including gaps in knowledge, information and data as well as assess time and resource limitations of water-infrastructure owners and operators. A case study summarizes the design and implementation of the first permanent modern hydrokinetic installation in South Africa where improved outputs were achieved through optimization during each design and operation phase. An economic analysis validates a competitive levelized cost of energy and further emphasizes the broad potential that is relatively unexplored within existing water-infrastructure.}
}

@BOOK{BETZ,
TITLE = {Introduction to the theory of flow machines},
SUBTITLE = {},
AUTHOR = {Albert Betz},
YEAR = {2014},
PUBLISHER = {Elsevier},
@book{BETZ,
author = {Albert Betz},
title = {Introduction to the Theory of Flow Machines},
publisher = {Elsevier},
year = {2014}
}

@article{BROWN,
Expand All @@ -123,12 +121,12 @@ @article{BROWN
author = {Glenn O. Brown},
}

@BOOK{BARTER,
TITLE = {Hanbook of Hydraulics},
SUBTITLE = {7th edition},
AUTHOR = {Brater, Ernest F. and King, Horace W. and Lindell, James E. and Wei, C. Y. },
YEAR = {1996},
PUBLISHER = {McGraw-Hill, Inc.},
@book{BARTER,
author = {Brater, Ernest F. and King, Horace W. and Lindell, James E. and Wei, C. Y.},
title = {Handbook of Hydraulics},
edition = {7},
publisher = {McGraw-Hill},
year = {1996}
}

@misc{osti_1968288,
Expand Down Expand Up @@ -159,9 +157,8 @@ @misc{HG
abstractNote = {Hydropower is one of the most mature forms of renewable energy generation. The United States (US) has almost 103 GW of installed, with 80 GW of conventional generation and 23 GW of pumped hydropower [1]. Moreover, the potential for future development on Non-Powered Dams is up to 10 GW. With the US setting its goals to become carbon neutral [2], more renewable energy in the form of hydropower needs to be integrated with the grid. Currently, there are no publicly available tool that can estimate the hydropower potential for existing hydropower dams or other non-powered dams. The HydroGenerate is an open-source python library that has the capability of estimating hydropower generation based on flow rate either provided by the user or received from United States Geological Survey (USGS) water data services. The tool calculates the efficiency as a function of flow based on the turbine type either selected by the user or estimated based on the “head” provided by the user.},
url = {https://www.osti.gov//servlets/purl/1829986},
doi = {10.11578/dc.20211112.1},
url = {https://www.osti.gov/biblio/1829986}, year = {2021},
month = {10},
note =
year = {2021},
month = {10}
}

@misc{USGS_data,
Expand Down
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